Applied AI Engineer
Scale AI
Salary undisclosed
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Description
About the role
Scale's Global Public Sector team uses AI to address critical challenges facing the public sector around the world. As an Applied AI Engineer, you'll build AI that runs inside production systems used by national health and government organisations.
You'll own scoped components of those systems, such as a model integration, agent tool, API, data pipeline, or evaluation, from implementation through to delivery. Senior engineers set the system-level design and client commitments, so you can go deep on making your components work reliably on real data.
What you'll do
- Own the implementation, testing, and delivery of defined AI components within an established system design
- Build agent tools, model integrations, and the backend services and APIs they depend on
- Run and extend evaluations within an established framework, interpret results, investigate common failure modes, and flag regressions
- Debug production issues in the components you own and resolve them using the team's engineering practices
- Communicate progress and blockers early, and take responsibility for delivery dates within your scope
- Work directly with client teams on the requirements and feedback for your components
- Share what you learn with the team as you build public sector domain expertise
What we look for
- Experience building and shipping production software, with proficiency in Python and working knowledge of at least one of TypeScript, Java, or C++
- Hands-on experience integrating models or AI/ML components into a production application, such as calling LLMs, building retrieval or agent tooling, or deploying a trained model
- A working understanding of ML evaluation: how to read results, spot regressions, and identify common causes of model failure
- Experience owning a defined piece of work through testing, release, and production debugging
- Strong problem-solving skills and a data-driven approach to iterating on models and datasets
- Clear written and verbal communication, including raising blockers and trade-offs early
Nice to have
- A backend or full-stack engineering background, so you can work across the API, service, and data-schema layers of the systems you contribute to
- Experience with cloud ML platforms such as AWS, GCP, or Azure
- Exposure to agentic workflows, retrieval-augmented generation, or context engineering
- Experience handling regulated or sensitive data
Where this role sits
Your primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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About this role
Scale's Global Public Sector team is building AI systems for national health and government organizations, and this role puts you at the center of that work. You'll own specific production components—whether that's a model integration, agent tool, API, data pipeline, or evaluation framework—and take them from implementation through delivery and production support. The work is scoped by senior engineers who handle system-level design, so you can focus on making your piece reliable and performant on real data rather than managing the full architecture.
The role demands solid production engineering fundamentals: Python proficiency, experience integrating AI or ML components into live systems (LLM calls, retrieval tooling, model deployment), and a practical grasp of ML evaluation—reading results, spotting regressions, understanding failure modes. You'll debug production issues, run and extend evaluations, communicate blockers early, and work directly with client teams on requirements. A backend or full-stack background is valuable for navigating the API, service, and data layers you'll touch.
This is best suited to someone who ships software regularly, thinks in terms of data and iteration, and wants to see their work run in high-stakes environments. You'll be based in Kuwait City, in-office, and working within an established team structure where your accountability is clear and bounded.
How this employer is doing
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- Recently Raised Funding
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Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Applied AI Engineer postings in Kuwait City, and analyze any offer before you accept it.
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